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Federal University of Vales do Jequitinhonha e Mucuri

Ranked
Diamantina, Brazil
1501+ in World University Rankings 2023
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About Federal University of Vales do Jequitinhonha e Mucuri

Basic information and contact details for Federal University of Vales do Jequitinhonha e Mucuri

Established as the Dentistry School of Diamantina in 1953, The Federal University of Vales do Jequitinhonha e Mucuri (Universidade Federal dos Vales do Jequitinhonha e Mucuri or UFVJM) is a public university in Diamantina, Minas Gerais in Brazil. It gained university status (and its new name) in 2005. UFVJM is a public educational institution composed of five campuses in the cities of Diamantina (main campus), Janaúba, Teófilo Otoni and Unaí, all located in the north of the state of Minas Gerais. It has approximately 9,500 students distributed in more than 80 undergraduate and graduate programmes, which are spread through 11 schools and institutes. The programmes are focused on the main fields of engineering, humanities, agricultural and health sciences. The Federal University of Vales do Jequitinhonha e Mucuri has a selective admission policy based on entrance examinations, with an admission rate of 70-80 per cent. Diamantina (population of 45,000) is a city in southeastern Brazil known for the 18th and 19th century wooden mansions lining its narrow streets. As its name suggests, it was a centre of diamond mining in the 18th and 19th centuries. The Diamond Museum displays artefacts from the city’s diamond mining past - the region, Minas Gerais, means "General Mines" in Portuguese, and was the site of huge gold rush in the 18th century. A well-preserved example of Brazilian baroque architecture (especially the blue and white Metropolitan Cathedral of Santo Antônio da Sé), Diamantina is a UNESCO World Heritage Site. Diamantina is also a gateway to the waterfalls, wildlife and cave paintings of Biribiri State Park, to the north.

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Key Student Statistics

A breakdown of student statistics at Federal University of Vales do Jequitinhonha e Mucuri

gender ratio
Student gender ratio
59 F : 41 M (1)
globe fill
International student percentage
0% (1)
student per staff
Students per staff
13.2 (1)
student
Student total
10708 (1)

Based on data collected for the (1) World University Rankings 2023

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Competitive

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NIHR Maternity Disparities Consortium - Research Fellow

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University of Southampton

United Kingdom, Southampton

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Research Fellow/Engineer (AI on Video Analytics) - DW

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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term About the Project The SIT x NVIDIA AI Centre (SNAIC) at the Singapore Institute of Technology (SIT) is seeking a highly motivated Research Fellow/Engineer to join a strategic collaboration with Procter & Gamble (P&G). This project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely with researchers from SNAIC, NVIDIA, and P&G to develop novel AI methodologies with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune and adapt Foundation Models and Vision-Language Models for domain-specific applications. Build end-to-end AI pipelines for video analytics and deployment. Work with industrial datasets and collaborate with domain experts from P&G. Publish research findings in top-tier AI conferences and journals. Mentor graduate students and support research activities within SNAIC. Required Qualifications Applicants should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.

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The Lakeside Coffee Shop is looking for an enthusiastic and motivated Team Leader to join our team. This is an exciting opportunity to work within a busy and fast paced environment at the heart of the University, supporting the day-to-day operation of our popular coffee shop whilst helping to deliver an excellent customer experience for students, staff and visitors. The successful candidate will play a key role in leading shifts, supporting the wider front of house team and ensuring high standards of service, presentation and operational consistency are maintained at all times. The role will predominantly be based within the coffee shop, however there will also be opportunities to cross train within our restaurant and events operation, supporting a wide range of University functions and hospitality events when required. Key Responsibilities Lead and support front of house operations within the coffee shop Deliver exceptional customer service and maintain high operational standards Support and supervise student staff during shifts Assist with stock control, opening and closing procedures and daily operations Work collaboratively with the wider Lakeside team across restaurant and events operations Help maintain a welcoming and professional environment for all customers What We’re Looking For A passion for customer service excellence Strong communication and teamwork skills Previous hospitality or supervisory experience preferred Ability to work in a busy and dynamic environment Positive attitude with a proactive and flexible approach If you are passionate about hospitality, enjoy working with people and are excited by the opportunity to work in a unique University environment, we would love to hear from you. How to Apply Please make your application on the University website. Applications should include a CV. In addition to the salary, you will receive a generous annual leave entitlement and excellent development opportunities. The benefits package includes an award winning pension scheme and childcare assistance. Interested candidates can contact Alicia Joyner a.j.joyner@surrey.ac.uk for an informal discussion.  Further details Job Description

Salary

£24,685 to £26,707 per annum

Posted

15 Jul 2026

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Subjects Taught at Federal University of Vales do Jequitinhonha e Mucuri

See below for a range of subjects taught at Federal University of Vales do Jequitinhonha e Mucuri

Arts and Humanities

  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Civil Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science
  • Veterinary Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Social Sciences

  • Geography